Postdoctoral Fellow: DeepWave ML for Geophysics

Karlstad University; Thuwal; On-site; SAR 180,000 - 240,000; Full time

Job summary

King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia, invites applications for a Postdoctoral Fellow in the DeepWave Consortium. The role focuses on developing machine-learning enhanced methods for wave-equation-based processing, imaging, and inversion.

Ideal candidates hold a PhD in computational geophysics, computer science, or applied mathematics, with a publication record and strong Python/Torch/JAX skills.

Qualifications

• PhD required in a relevant field with a track record of publications.
• Proven publications portfolio is preferred.
• Strong Python programming skills and experience with ML frameworks (Torch/JAX).
• Excellent written and spoken English.

Responsibilities

• Develop novel methodologies for wave-equation-based processing, imaging, and inversion.
• Validate approaches using field data and scale methods to real-world applications.
• Publish in leading peer-reviewed journals and present at international conferences.
• Collaborate with students and contribute to consortium code base; experience with open-source software is a plus.

Skills

English proficiency

Python programming

Education

PhD in Computational Geophysics, Computer Science, Applied Mathematics or similar

Portfolio of relevant publications

Tools

Torch

JAX

Job description

King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia, invites applications for a Postdoctoral Fellow in the DeepWave Consortium. The role focuses on developing machine-learning enhanced methods for wave-equation-based processing, imaging, and inversion.

Ideal candidates hold a PhD in computational geophysics, computer science, or applied mathematics, with a publication record and strong Python/Torch/JAX skills.